This collection of thoroughly refereed papers presents state-of-the-art research results by well-known researchers on the foundations of knowledge representation and reasoning. In addition, there are two surveys, one by the volume editors intended as a guide to this book and another by Shoham and Cousins on mental attitudes.
In total, the volume provides a well-organized report on current research in knowledge representation, which is one of the central subfields of AI. Except the surveys, the papers grew out of a workshop on Theoretical Foundations of Knowledge Representation and Reasoning, held in conjunction with the 10th European Conference on Artificial Intelligence (ECAI-92) in Vienna in August 1992.
Inhaltsverzeichnis
Foundations of knowledge representation and reasoning. - Collective entities and relations in concept languages. - Computing extensions of terminological default theories. - A formalization of interval-based temporal subsumption in first order logic. - Normative, subjunctive and autoepistemic defaults. - Abductive reasoning with abstraction axioms. - Queries, rules and definitions as epistemic sentences in concept languages. - The power of beliefs or translating default logic into standard autoepistemic logic. - Learning an optimally accurate representation system. - Default reasoning via negation as failure. - Weak autoepistemic reasoning and well-founded semantics. - Forming concepts for fast inference. - A common-sense theory of time. - Reasoning with analogical representations. - Asking about possibilities Revision and update semantics for subjunctive queries Extended report. - On the impact of stratification on the complexity of nonmonotonic reasoning. - Logics of mental attitudes in AI. - Hyperrational conditionals. - Revision by expansion in logic programs.
